• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.155-163
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• 2021

This research was conducted to check the impact of factors related to the small and medium-sized enterprises (SME) on the economic growth in the Southeast region of Vietnam, over the years from 1996-2019. This paper applies a combination of FEM, DKSE, GMM, and RIDGE-FEM regression methods to estimate the influence of independent variables on the economic growth of the whole Southeast region with the panel data collected from GSO; and applying the OLS regression model for each province. The study finds that all variables have a statistically significant positive impact on the economic growth of the study area. Accordingly, the importance of the variables is in the following order: (1) the proportion of workers by professional and technical qualification (SMEH), (2) the number of vocational training schools (LnTSCH), and educational level of workers (LnSchool), (3) the number of SME enterprises (LnSME); (4) The average number of years in the schooling of employees in the enterprise (LnSchool); (5) Enterprise capital (LnCAP); and (6) the average number of employees of SME (LnSMER). The research results also show that factors related to the quality of labor resources have a more positive influence on growth than both the labor size and financial capital of SMEs.

• Journal of Engineering Education Research
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• v.24 no.2
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• pp.51-60
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• 2021

Although more than 15 years have passed since the introductory design courses were opened due to the introduction of engineering education certification in the civil engineering field, these courses have been operated somewhat unsatisfactorily compared to their importance as an introductory course for engineering design. This is partially because the quality of classes is affected by the instructor's individual ability due to the fact that a standard training plan for these courses has not been established so far. Therefore, in this paper, we try to present a reference model for the introductory design course by introducing a class operation case established through continuous improvement process over the last 10 years at Chungbuk National University. This case aims to cultivate students' problem solving and system design skills by carrying out projects to develop egg drop and wood bridge systems based on creative problem solving methodologies. As a result of a questionnaire survey conducted after the class, we found that students' problem solving and system design capabilities were improved significantly and there was a meaningful increase in level of interest and attention in civil engineering by taking this class.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.2
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• pp.421-441
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• 2021

Fruit detection in orchards is one of the most crucial tasks for designing the visual system of an automated harvesting robot. It is the first and foremost tool employed for tasks such as sorting, grading, harvesting, disease control, and yield estimation, etc. Efficient visual systems are crucial for designing an automated robot. However, conventional fruit detection methods always a trade-off with accuracy, real-time response, and extensibility. Therefore, an improved method is proposed based on coarse-to-fine multitask cascaded convolutional networks (MTCNN) with three aspects to enable the practical application. First, the architecture of Fruit-MTCNN was improved to increase its power to discriminate between objects and their backgrounds. Then, with a few manual labels and operations, synthetic images and labels were generated to increase the diversity and the number of image samples. Further, through the online hard example mining (OHEM) strategy during training, the detector retrained hard examples. Finally, the improved detector was tested for its performance that proved superior in predicted accuracy and retaining good performances on portability with the low time cost. Based on performance, it was concluded that the detector could be applied practically in the actual orchard environment.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.549-555
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• 2021

Machine Learning(ML) splits data into 3 parts, which are usually 60% for training, 20% for validation, and 20% for testing. It just splits quantitatively instead of selecting each set of data by a criterion, which is very important concept for the adequacy of test data. ML measures a model's accuracy by applying a set of validation data, and revises the model until the validation accuracy reaches on a certain level. After the validation process, the complete model is tested with the set of test data, which are not seen by the model yet. If the set of test data covers the model's attributes well, the test accuracy will be close to the validation accuracy of the model. To make sure that ML's set of test data works adequately, we design an experiment and see if the test accuracy of model is always close to its validation adequacy as expected. The experiment builds 100 different SVM models for each of six data sets published in UCI ML repository. From the test accuracy and its validation accuracy of 600 cases, we find some unexpected cases, where the test accuracy is very different from its validation accuracy. Consequently, it is not always true that ML's set of test data is adequate to assure a model's quality.

• Journal of the FoodService Safety
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• v.1 no.1
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• pp.45-51
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• 2020

This study sought to understand the requirements of registered institutions and parents of beneficiary children's through a satisfaction survey conducted at Center for Children's Foodservice Management (CCFSM) and to improve quality to create a model example of site-based meal safety management in accordance with population trends. In 2019, the comprehensive satisfaction level of the director and parents rose 2.4 points and 2.9 points, respectively, compared to the previous year, and the comprehensive satisfaction level of the director and parents continued to rise from 2015 to 2019. The gap between the highest and lowest institutions is narrowed to 13.5 points year-on-year from 21.4 points. National Institute of Food and Nutrition Service will need to make efforts to upgrade regional centers through (Human Resource Development(HRD) training to strengthen their job-specific capabilities and minimize the standard deviation of each center. Since local centers are distributed across the country and have field-oriented service support systems, CCFSM will need to manage the healthy eating habits of the underprivileged, provide information necessary to establish proper eating habits, strengthen education, and establish a customized food safety service system.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.221-225
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• 2019

The purpose of this study is to provide the general public with basic data to facilitate the application of Cardio-Pulmonary Resuscitation(CPR). There were two groups using CPR mannequin and CPR cube, and participants were given three days of CPR training and two weeks later evaluated for chest compression. Participants recorded chest compression depth, rate of chest compression, accuracy of chest compression, insufficient recoil and incomplete place. There was a statistically significant difference in insufficient recoil and incomplete place in the study. The use of CPR cube to expand CPR education is also believed to be useful in terms of confidence and quality in implementing CPR.

• Journal of Korean society of Dental Hygiene
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• v.19 no.4
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• pp.525-533
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• 2019

Objectives: This research aimed to identify the influential factors that affect the satisfaction of dental hygiene students' clinical training between college and university and contribute to improvement in clinical practice quality. Methods: A self-reported questionnaire was completed by 210 dental clinical hygienists from June 10 to August 30, 2018. Data were analyzed using SPSS 22.0. An independent t-test, one-way ANOVA, Scheffe's post-hoc test, and Pearson's correlation coefficient were employed, and a stepwise multiple regression analysis was performed. Results: Regarding the influential factors of satisfaction with clinical practice among dental hygiene students, in the case of college students, dental hygienist practice instructor dummy, self-efficacy, satisfaction of school life, interpersonal relation was the increasing order. In the case of university students, dental hygienist practice instructors, subjective health, satisfaction with school life, and interpersonal relations was the increasing order. Conclusions: The most influential factor of dental hygiene students' clinical practice satisfaction between college and university was the ability to form interpersonal relationships. Therefore, to increase the satisfaction of dental hygiene students with clinical practice between college and university, external sources and efforts to emphasize internal sources are required.

• Journal of Environmental Health Sciences
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• v.44 no.6
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• pp.591-598
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• 2018

Objectives: Radiologists are the service worker with emotional labor who works within a relatively small space of the hospital, dealing with multiple patients. The purposes of this study were to search the turnover intention and job satisfaction through the work of emotional labor of radiologists. Methods: A questionnaire survey was conducted on 109 radiologists working at university hospitals, general hospitals, clinics and other facilities across the domestic. The regions were aggregated according to Quality Function Deployment (QFD) method, which was applied in proportion to the population distribution. A questionnaire was composed of 26 questions which were used in Korean Emotional Laboratory Scale (K-ELS). Results: The overall emotional labor score was $48.3{\pm}15.8$. The most pressing requirement of radiologists to improve emotional labor was the topic about the exchange of colleagues ($75.8{\pm}15.6$ score, ${\beta}=0.78$, p<0.001). Conclusions: In order to resolve the emotional labor of radiologists, it could be necessary to have a meeting through training and workshops where the exchange of colleagues can take place.

• Clinics in Orthopedic Surgery
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• v.10 no.4
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• pp.491-499
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• 2018

Background: Advances in surgical techniques, implant technology, radiotherapy, and chemotherapy have increased the recovery chances of patients with bone sarcomas. Accordingly, patients' expectations on life quality have also increased, highlighting the importance of objective evaluation of the functional results of reconstruction. Methods: Thirteen patients with distal femoral endoprosthesis, who had been followed for an average of 2.9 years were evaluated. Postural stability, daily energy expenditure, muscle power, and range of motion were the four parameters analyzed in this study. The Musculoskeletal Tumor Society (MSTS) score and Toronto Extremity Salvage Score (TESS) were used to assess postoperative function and examine correlations with other parameters. Results: Patients had sedentary activities in 84% of their daily lives. They exhibited a slower speed in the walk across test and a higher sway velocity in the sit-to-stand test (p = 0.005). MSTS scores were significantly correlated with the daily energy expenditure and walking speed. Conclusions: Objective functional results acquired from various clinics will provide significant data to compare reconstruction techniques, rehabilitation protocols, and surgical techniques. In this way, it will be possible to satisfy the expectations of patients that increase in relation to enhanced recovery.

• Journal of Korean Gerontological Nursing
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• v.20 no.3
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• pp.185-192
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• 2018

Purpose: Korea is one of the most rapidly aging countries, accompanied by an increasing number of older adults with dementia. Certified-care-assistants are the primary care workers for these older adults. This cross-sectional descriptive study compared the factors influencing care behaviors among Korean and non-Korean certified-care-assistants in Korea. Methods: Participants, 113 Korean certified-care-assistants and 71 non-Korean certified-care-assistants, completed a survey questionnaire. The questionnaire was designed to assess dementia knowledge, attitude and care behaviors toward older adults with dementia. To determine the differences in these two groups, t-test was used. A stepwise multiple regression was performed to identify factors related to care behavior. Results: Significant differences in dementia knowledge, attitude and care behavior toward older adults with dementia emerged between Korean and non-Korean certified-care-assistants. Factors influencing care behavior varied by group. Dementia knowledge and education level were the significant factors of care behaviors in Korean certified-care-assistants, whereas attitude toward older adults with dementia was the significant factor in non-Korean certified-care-assistants. Conclusion: Findings indicate that different factors influence the care behavior of two groups. These findings can be utilized to develop certified-care-assistants' training curriculum that needs to be tailored by nationality to improve the quality of care for older adults with dementia.